With ChatGPT 4's new image interpretation, data analysis, and data exporting abilities, I thought it was about time to test whether it could somewhat or fully automate paper based data entry.
Join us on an innovative journey where we put ChatGPT 4 to the test! In this video, we explore the capabilities of AI in interpreting and analyzing a scanned paper questionnaire. Watch as we scan both a customized and traditional questionnaire (the PHQ-9), feed it to ChatGPT, and observe how it processes and converts the information into a structured dataset.
We'll dive into the challenges of AI understanding denoting/circling data points and handwritten texts, while assessing its the ability to conduct data extraction.
🔍 Key Highlights:
Image Interpretation: Different types of layout and resolution - what works best?
ChatGPT's Interpretation: What kind of data is most accurately interpreted?
Data Export: Can it convert interpretations into a usable dataset?
For the PHQ-9, I decided not to make a huge fuss over getting the name of data I entered at the top. I was curious if it would try to extract it, but it didn't. Nevertheless, it did an OK job getting the rest.
Whether you're a data enthusiast, AI researcher, or just curious about the intersection of technology and data management, this video offers insights and surprises at every turn. Thanks so much for watching. Please support my channel by liking, commenting, and subscribing!
#ChatGPT #DataAnalysis #AIChallenge #MachineLearning #TechInnovation
VIDEO TIMELINE
0:00 - Intro
0:06 - Overview
0:29 - Giving ChatGPT our custom scanned survey - standard resolution
1:13 - Giving ChatGPT our custom scanned survey - high resolution
1:40 - Attempting to remove Subject ID to see if it helps
2:19 - Attempting to provide very detailed instructions for data interpretation
2:58 - FINALLY, SOMETHING WORKED (Color Contrast and Medium/High Resolution)!
3:38 - Comparing results
4:06 - Giving ChatGPT a completed PHQ-9
4:59 - Comparing results
5:55 - Outro